.Created in 2016, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's travel needs.With Free2move, you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform!Born from the merger of the Stellantis Group and the start-up TravelCar, Free2move has managed to establish itself in just 6 years as a reference player to revolutionize the mobility of all travellers.Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across 5 continents and is available in 30 languages and 26 currencies.
5000 partners trust us and several hundred thousand vehicles are available!If you want to join a team of +750 experts and bold international projects, then you're in the right place!You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector.JOIN US!It's exciting, you'll see!The analytics team:Data science and analytics are at the core of Free2Move products and decision-making.
Our team covers a wide range of topics from influencing business decisions, to optimizing all aspects of the business, to putting in production algorithms that govern critical aspects of our products.We work on a number of diverse optimization problems throughout our business such as: user loyalty, fraud detection, churn prediction, supply optimization, damage reduction, optimization of our operating area and the distribution of cars in the city, demand prediction, yield optimization, optimal pricing, and many more...Your next missions:Explore large datasets and turn them into understandable and actionable insights.Build scalable analytic solutions using state of the art tools based on large and granular datasets.Design and execute a stream of analysis and tests to measure the impact of your solutions.Create precise KPIs and build reliable dashboards in Tableau for monitoring.Design and build ETLs to support your work.Expected skills:A master's degree in a quantitative subject such as engineering, mathematics, statistics, or physics.At least 3 years of demonstrable hands-on experience as a data scientist solving problems in a business context.Passion for statistics and data analysis.
You are comfortable with both creating quick order-of-magnitude assessments, as well as crafting deep rigorous analysis.Expertise in SQL and business intelligence tools such as Tableau or Superset.Expertise in Python; previous experience in production ML systems is a strong plus.Ability to work in English with multiple stakeholders, and can communicate analytical and technical content in an understandable way for different audiences